Open Source Summit North America 2025

At Intuit we have ~320 Kubernetes clusters running with ~8000 services and ~40 addons in a cluster which generate ~2 billion active time series metrics, 10 million Trace spans/sec and ~ 1.2PB of log data ingested (peak) in a single day. This talk focuses on Intuit’s journey from standalone, siloed, proprietary solutions for logs, metrics and traces to a unified observability solution. This is made possible with a data management architecture that enables seamless navigation and correlation between different observability pillars, usage of AI/ML techniques to quickly detect and isolate problems, UX that brings all the elements of data discovery with an interactive experience and high level features like golden signals, RUM (real user monitoring) and FCI (failed customer interactions). All of this leading to significantly lower MTTD and MTTI. We also discuss the challenges, choices, trade offs, benefits and lessons learned during this journey.